Introduction A low cardiorespiratory fitness (CRF) is a strong and independent predictor of cardiometabolic, cancer and all-cause mortality. To date, the mechanisms linking CRF with reduced mortality remain largely unknown. Metabolomics, which is a powerful metabolic phenotyping technology to unravel molecular mechanisms underlying complex phenotypes, could elucidate how CRF fosters human health. Methods and analysis This study aims at systematically reviewing and meta-analysing the literature on metabolites of any human tissue sample, which are positively or negatively associated with CRF. Studies reporting estimated CRF will not be considered. No restrictions will be placed on the metabolomics technology used to measure metabolites. PubMed, Web of Science and EMBASE will be searched for relevant articles published until the date of the last search. Two authors will independently screen full texts of selected abstracts. References and citing articles of included articles will be screened for additional relevant publications. Data regarding study population, tissue samples, analytical technique, quality control, data processing, metabolites associated to CRF, cardiopulmonary exercise test protocol and exercise exhaustion criteria will be extracted. Methodological quality will be assessed using a modified version of QUADOMICS. Narrative synthesis as well as tabular/charted presentation of the extracted data will be included. If feasible, meta-analyses will be used to investigate the associations between identified metabolites and CRF. Potential sources of heterogeneity will be explored in meta-regressions. Ethics and dissemination No ethics approval is required. The results will be published in a peer-reviewed journal and as conference presentation. PROSPERO registration number CRD42020214375.

中文翻译：

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心肺健康的代谢特征：系统评价和荟萃分析方案

引言 低心肺适能 (CRF) 是心脏代谢、癌症和全因死亡率的一个强有力的独立预测因子。迄今为止，将 CRF 与降低死亡率联系起来的机制仍然很大程度上未知。代谢组学是一种强大的代谢表型分析技术，可以揭示复杂表型背后的分子机制，可以阐明 CRF 如何促进人类健康。方法和分析 本研究旨在系统回顾和荟萃分析任何人体组织样本代谢物的文献，这些代谢物与 CRF 呈正相关或负相关。报告估计 CRF 的研究将不予考虑。用于测量代谢物的代谢组学技术将不受任何限制。考研，将在 Web of Science 和 EMBASE 中搜索已发表的相关文章，直到最后一次搜索为止。两位作者将独立筛选所选摘要的全文。将对纳入文章的参考文献和施引文章进行筛选，以获取其他相关出版物。将提取关于研究人群、组织样本、分析技术、质量控制、数据处理、与 CRF 相关的代谢物、心肺运动测试方案和运动衰竭标准的数据。方法学质量将使用 QUADOMICS 的修改版本进行评估。将包括叙述性综合以及提取数据的表格/图表表示。如果可行，将使用荟萃分析来研究确定的代谢物与 CRF 之间的关联。异质性的潜在来源将在元回归中进行探索。道德和传播 不需要道德批准。结果将发表在同行评审期刊和会议报告中。PROSPERO 注册号 CRD42020214375。